WORKING ON THE EDGE
Today's world revolves around data; everything we do can be traced back to ones and zeros. And that is convenient as data provides business insights and supports real-time control over critical business processes and operations. On the other hand, we might face a problem as the amount of data has exploded in recent years.
Users generate vast amounts of data; however, it is not just people who produce data. With the rise of the Internet of Things (IoT), more assets and devices are connected to the internet, collecting data on customer usage patterns and product performance. With the rise of machine learning, even more data is being generated. This makes traditional data centre infrastructures no longer sufficient.
- Bandwidth limitations
- Latency issues
- Unpredictable network disruptions
There is a solution: organisations are responding to these challenges by introducing Edge Computing.
Edge computing is causing a major revolution in how companies store and use their collected data. The system filters and processes (some of) the data locally, which results in reducing data flow to the central repository. This allows data produced by IoT devices to be processed closer to the location (source) instead of sending the data over long routes to data centres or the Cloud.
- Bandwidth limitations
- Latency issues
- Unpredictable network disruptions
There is a solution: organisations are responding to these challenges by introducing Edge Computing.
Edge computing is causing a major revolution in how companies store and use their collected data. The system filters and processes (some of) the data locally, which results in reducing data flow to the central repository. This allows data produced by IoT devices to be processed closer to the location (source) instead of sending the data over long routes to data centres or the Cloud.
- Faster data processing
Data processing is much faster as it is performed at the edge of the network. The reaction time is very high, and adjustments can be implemented easily. - Reduces the network load
Data is processed at the edge of the network instead of at the data centre. - Improve network bandwidth
Relieve your local bandwidth with local data processing. - Reduce the risk of cyber attacks
By processing data at the edge of the network, the distance between the device and the server is shorter and therefore less vulnerable. - Energy savings
Edge computing enables smarter grids and allows enterprises to better manage their energy consumption.
- Faster data processing
Data processing is much faster as it is performed at the edge of the network. The reaction time is very high, and adjustments can be implemented easily. - Reduces the network load
Data is processed at the edge of the network instead of at the data centre. - Improve network bandwidth
Relieve your local bandwidth with local data processing. - Reduce the risk of cyber attacks
By processing data at the edge of the network, the distance between the device and the server is shorter and therefore less vulnerable. - Energy savings
Edge computing enables smarter grids and allows enterprises to better manage their energy consumption.
Edge computing can help you to optimise your daily operations by quickly processing substantial amounts of data at or near the local location where that data is collected. This is more efficient than sending all collected data to a central cloud or a primary data centre, which would cause too many network delays and performance problems.
Do you want to see some practical use cases of edge computing? We bundled use cases for a variety of sectors: healthcare, retail, manufacturing and more.
As you have already read above, edge computing creates more security as data is stored locally. That is why organisations are investing in edge computing as an additional security layer, because data is processed locally, without the need to leave its respective location. This provides less surface for attacks that may arise when you are only using a central data centre.
However, this also means that the infrastructures at the edge of the network must be highly secured. Lenovo and Intel are your partners in crime to tackle this challenge.
Designed and built with the unique requirements for Edge servers in mind, it is versatile enough to stretch the limitations of server locations, providing a variety of connectivity and security options.
Small Form Factor - Power efficiency - Ruggedized - Enhanced security
Low acoustics - Wireless connectivity - Remote management
The most GPU rich AI server for the Edge
ThinkEdge SE450 is a rugged compact-sized Edge AI server with enhanced processing power, increased security, and manageability for harsh environments.
The only data center CPU with built-in AI acceleration, end-to-end data science tools, and an ecosystem of smart solutions. Fueled by Intel SGX, which protects data and application code while in use from the edge to the data center and multi-tenant public cloud. Intel® Xeon® Platinum Processors are the foundation for secure, agile, data centers.
Do you want to learn more about Edge Computing and all its benefits? Check out our eBook full with practical use cases.
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